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Title: RBF neural networks for pattern classification
Authors: He, Jianlei.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2011
Abstract: Radial basis function neural networks (RBF neural networks), as an alternative to multilayer perceptions, have been found to be very advantageous to pattern recognition, machine learning and artificial intelligence. This thesis addresses the problem of RBF neural networks for pattern classification.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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